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Machine Learning Defense Jobs in Raleigh, NC (NOW HIRING)

RF signal processing, electronic warfare, optimization, array processing, machine learning ... Radar signal processing in Department of Defense (DoD) specific applications including electronic ...

These markets include aerospace and defense, factory automation, air and water quality ... for autonomy, machine learning and biomedical applications. This position is onsite, at our ...

These markets include aerospace and defense, factory automation, air and water quality ... for autonomy, machine learning and biomedical applications. This position is onsite, at our ...

These markets include aerospace and defense, factory automation, air and water quality ... for autonomy, machine learning and biomedical applications. This position is onsite, at our ...

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

... Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and ...

... Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and ...

... defense research and development. We are seeking a visionary Electronic Warfare Systems Architect ... Emitter detection, classification, and geolocation - Guide the integration of machine learning ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... defense research and development. We are seeking a visionary Electronic Warfare Systems Architect ... Emitter detection, classification, and geolocation - Guide the integration of machine learning ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... defense research and development. We are seeking a visionary Electronic Warfare Systems Architect ... Emitter detection, classification, and geolocation - Guide the integration of machine learning ...

Senior Consultant - Cyber Defense & Resilience - Security Operations Are you interested in working ... Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras ...

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Machine Learning Defense information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning defense jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning defense in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Raleigh, NC? For Machine Learning Defense jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Defense jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Defense jobs? Cities near Raleigh, NC with the most Machine Learning Defense job openings:
Infographic showing various Machine Learning Defense job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 92% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Signal Processing Engineer

CoVar

Durham, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Signal Processing Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop signal processing algorithms and software to solve real-world customer problems. You will develop novel and advanced algorithms for sense making and sensor decision making for applications in the RF domain to include detection, localization, classification, tracking and EW. You will design and implement simulations for these RF applications as well as evaluate results on real world data. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Key Responsibilities

  • Algorithm Development: Design, implement, and optimize signal and array processing algorithms for RF applications, detection, localization, tracking, channel estimation, beamforming, and spectral analysis.
  • Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking, parameter estimation, and pattern recognition.
  • Prototyping & Testing: Develop simulation models (e.g., Python, MATLAB) and implement algorithms on real-time platforms such as FPGAs, GPUs, or SDRs (Software-Defined Radios).
  • RF System Integration: Collaborate with hardware engineers to integrate digital signal processing (DSP) algorithms into RF systems and ensure optimal end-to-end performance.
  • Performance Evaluation: Conduct laboratory and field testing to validate system performance under various operational conditions.
  • Research & Innovation: Stay up to date with emerging RF technologies, advanced signal processing techniques, and industry best practices.
  • Documentation: Prepare technical reports and presentations for internal and external stakeholders.

Minimum qualifications

  • B.S., M.S., or Ph.D in Electrical Engineering, Computer Engineering, Applied Physics, Applied Mathematics, or a related field.
  • 3+ years of experience in RF signal processing or a related discipline.
  • Strong proficiency in one or more of the following programming languages: Python, C/C++, or MATLAB.
  • Experience in the following areas:
    • RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation
  • Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts.
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance

Preferred qualifications

  • Experience with:
    • Radar signal processing in Department of Defense (DoD) specific applications including electronic warfare (EW) techniques such as electronic support measures, attack, protection, and cognitive EW.
    • AI/ML algorithm design in the areas of computer vision, reinforcement learning (RL), and natural language processing.
    • Spectrum monitoring and signal classification using machine learning techniques.
    • Translating the mission needs of DoD customers into an end-to-end technical solution.
    • Proposal development and proposal writing.
  • Familiarity with FPGA or GPU acceleration for high-performance DSP.
  • Proficiency in C/C++ for embedded or real-time applications.
  • Active U.S. security clearance.

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com